Progress! (on the understanding of the role of randomization in Bayesian inference)
Statistical Modeling, Causal Inference, and Social Science 2013-06-16
Summary:
Leading theoretical statistician Larry Wassserman in 2008: Some of the greatest contributions of statistics to science involve adding additional randomness and leveraging that randomness. Examples are randomized experiments, permutation tests, cross-validation and data-splitting. These are unabashedly frequentist ideas and, while one can strain to fit them into a Bayesian framework, they don’t really have a [...]
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